VP, Research
About the role
Lead Scale’s ML Research function and global research organization to advance frontier AI, safety, and policy research; translate science into production-ready solutions and collaborate with GTM, engineering, and customers to define the next era of AI.
Responsibilities
- Lead the ML Research function, responsible for delivery, quality, performance, and roadmap execution
- Build and scale a global high-performing team, with an emphasis on initiative ownership and ML excellence
- Partner directly with Fortune 100 customers and the GTM team to translate business needs into scalable technical solutions
- Collaborate with engineering, product, and delivery teams across Scale to drive cutting edge research
- Shape the long-term vision and org design of the ML Research team, aligned with business growth and product evolution
- Manage and mentor senior ML Research leaders and instill a culture of accountability, speed, and results
- Make rigorous tradeoffs across technical and business dimensions, backed by financial insight and operational understanding
- Represent ML Research in cross-functional planning cycles, including headcount, budget, and strategic initiatives
Qualifications
- Has a strong track record of leading ML Research teams in high-growth environments, ideally in ML, infrastructure, or complex systems
- Has scaled research organizations across geographies and understands how to structure and evolve teams effectively
- Operates with urgency and clarity—able to distill priorities and move teams from ambiguity to execution
- Has experience partnering deeply with sales, delivery, and customer success teams
- Is equally comfortable in the weeds and at the executive level; knows when to lead from the front and when to empower others
- Brings credibility and curiosity in core technical areas—especially product engineering, infrastructure, or AI agent systems
Skills
Benefits
- comprehensive health, dental and vision coverage
- retirement benefits
- a learning and development stipend
- generous PTO
- additional benefits such as a commuter stipend
About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
More open roles at Scale AI
- Strategic Contracts Lead, Public Sector5d agoWashington, DC · Public Sector
- Web Designer, Brand Web Experience5d agoSan Francisco, CA · Marketing
- Head of Strategic Partnerships, Global Systems Integrators5d agoSan Francisco, CA · Enterprise Sales
- Safety Research Scholar - Human Frontier Labs5d agoHybrid (United States) · Human Frontier Collective
- Machine Learning Research Intern (Summer 2027)5d agoHybrid (San Francisco, CA), Hybrid (New York, NY) · University